Monitoring vital signs using mmWave signals and cross-modality supervision. This project aims to develop key enabling technologies for millimeter-wave radar-based monitoring of vital signs, including

Description

Monitoring vital signs using mmWave signals and cross-modality supervision. This project aims to develop key enabling technologies for millimeter-wave radar-based monitoring of vital signs, including respiration, heartbeat, and blood pressure, for multiple users. Through mmWave imaging in a near field and cross-modality learning, computer vision knowledge is integrated into mmWave radar sensing to overcome major challenges that hinder practical applications. Person re-identification, tracking, and beamforming techniques will be developed to enable simultaneous multiple-user monitoring. The intended outcomes are novel techniques capable of monitoring vital signs for multiple people. The technology can enable a vast array of new applications, such as safety and security, healthcare and entertainment.. Scheme: ARC Future Fellowships. Field: 4603 - Computer Vision and Multimedia Computation. Lead: Prof Min Xu